diff --git a/content/posts/wgu_instructions.md b/content/posts/wgu_instructions.md
index d28e3dc..5fd35b9 100644
--- a/content/posts/wgu_instructions.md
+++ b/content/posts/wgu_instructions.md
@@ -264,4 +264,3 @@ python compare_to_gt ./ground_truth.txt ./20231012-081235.txt ./output.csv --fac
 ```
 
 This script will then take the generated test validation file, and get what the generated adjustment output would be, and gets the absolute difference between it and the ground truth, then it adds together all results for each frame - this last part penalizes false positives. We can then take the generated output file, and open it in Excel. We can take the average of it to see what the average deviation from the ground truth would be. The generated faces_count_output file contains the number of faces found in each frame, and can be used to measure the number of false positives.
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